Highlights•Advances in artificial intelligence (AI) are modernising several aspects of our
lives.•The pharma industry is facing challenges to overcome the high attrition rates in drug …

Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …

Accurate diagnostic classification of cancers can greatly help physicians to choose
surveillance and treatment strategies for patients. Following the explosive growth of huge …

Text clustering is a critical step in text data analysis and has been extensively studied by the
text mining community. Most existing text clustering algorithms are based on the bag-of …

There are thousands of reviews constantly being posted for popular products on e-
commerce websites. The number of reviews is rapidly increasing which creates information …

Abstract The emergence of Artificial Intelligence (AI) in drug discovery marks a pivotal shift in
pharmaceutical research, blending sophisticated computational techniques with …

Speech Analysis for Automatic Speech Recognition (ASR) systems typically starts with a
Short-Time Fourier Transform (STFT) that implies selecting a fixed point in the time …

Experience sampling has long been the established method to sample people's mood in
order to assess their mental state. Smartphones start to be used as experience sampling …

Online social media (OSM) has become a hotbed for the rapid dissemination of
disinformation or rumour. Therefore, rumour detection, especially early rumour detection …

This study aims to implement and compare the Long Short Term Memory (LSTM) and
Simple Recurrent Neural Networks (RNN) algorithm in the case of chatbot using Bahasa …